1,051 to 1,075 of 2,185 LLM Jobs in London

Amazon Web Services, Business Development, CI/CD, CloudFormation, DAMA, Data Architecture, Decision Intelligence, DevOps, Generative AI, Google Cloud Platform, Hybrid Cloud, Large Language Model Applications, Machine Learning, Microsoft Azure, TOGAF, Terraform, Thought Leadership, Transformation RoadmapsData & AI Strategy Consultant/Architect – AI Transformation (GenAI & Agentic AI)Are you ready … adoption of GenAI, copilots, and agentic AIArchitect intelligent cloud and hybrid ecosystems, supporting the modernisation of legacy data environmentsDesign and implement agentic AI workflows, LLM-based applications, and decision intelligence platformsDrive automation through DevOps practices, CI/CD pipelines, and Infrastructure-as-Code (Terraform, CloudFormation)Develop enterprise data ...

have built on model APIs (e.g. Azure OpenAI, Anthropic, open-weight models) and evaluation tooling, and know when the framework, or the LLM, is unnecessary. Hands-on engineering skills in Python and SQL, taking work from notebook to production to a high standard (testing, CI/CD, containers, infrastructure … Rigour in running AI in production: experiment tracking and model registry (MLflow), evaluation frameworks and regression testing before release, monitoring and data-drift management, LLM observability and model governance. A track record of owning technical decisions across model selection, data and retrieval strategy, evaluation and production deployment, and of contributing ...

scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system … software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Essential - Proven track record delivering production LLM‐based systems, including RAG pipelines, agentic/tool‐use frameworks, and multi‐step reasoning workflows. Essential - Strong proficiency in Python for AI service development; working ...

vendor availability. Event-driven consistency. Services coordinating over Pub/Sub — sagas across offer → contract → tenancy → payment with no distributed transaction to lean on. LLM tool calling, deterministic API calls, and other intra‐and inter‐service communications all running across the same coordination system. AI harnesses in production. Deploying agentic … into real-world operational settings — acting on real money, tenancies and legal exposure, with the guardrails, observability and correctness that demands. Non-deterministic LLM working within compliant, secure deterministic software. Our stack We build on NestJS + TypeScript on GCP/GKE , with MongoDB , Redis and GCP Pub/ ...

Kubernetes/EKS, ECS, Docker, RDS/PostgreSQL and S3. Productionise AI Workloads: Work closely with our AI engineers to deploy and operate NLP, LLM and quantitative‐model workloads, including workloads using our in‐house GPU infrastructure. Own Software Through to Production: Take responsibility for testing, deployment, performance, monitoring … comfortable taking responsibility in a small, fast‐moving engineering team. Experience with Apache Airflow, Kubernetes, real‐time data platforms, AI/ML infrastructure, LLM agents, GPU infrastructure or financial‐market systems would be useful, but is not essential. Why Permutable? Real Ownership: Take responsibility for important production systems and influence ...

sector transformation programmes. We are looking for an experienced Python Developer who has moved beyond experimenting with Generative AI and has genuine experience engineering LLM-powered solutions for production environments. Working within multidisciplinary consulting teams, you will help organisations explore how AI can improve complex operational processes, information discovery … consultants and frontend engineers. What you'll be doing: Engineer Python backend services and APIs using FastAPI and asynchronous development patterns Design and integrate LLM capabilities using OpenAI, Azure OpenAI or comparable foundation models Build practical RAG, enterprise search and document intelligence solutions using embeddings and vector databases Develop prompt ...

AI/ML Engineer (Contract) London2 Days in OfficeOutside IR35£400 - £500 Per Day6 months long The Company They are a well-established media business with a strong digital presence and a growing focus on ...

generation AI-powered Production Intelligence platform. You will combine Site Reliability Engineering practices with modern agentic AI (reusable Skills, Model Context Protocol (MCP), and LLM tooling) to transform how engineering and leadership teams monitor, diagnose, and auto-remediate global SaaS infrastructure. What you'll do Technical Leadership & Architecture: Define …/SLO design, observability platforms (metrics/logs/traces), incident management, and automated RCA. Preferred Qualifications AI & Agentic Systems: Hands-on experience building LLM pipelines, AI Agents, Model Context Protocol (MCP) servers/clients, RAG architectures, and evaluation frameworks. Observability & Telemetry: Experience with OpenTelemetry (OTel), Prometheus, Grafana, Splunk, ThousandEyes ...

generation AI-powered Production Intelligence platform. You will combine Site Reliability Engineering practices with modern agentic AI (reusable Skills, Model Context Protocol (MCP), and LLM tooling) to transform how engineering and leadership teams monitor, diagnose, and auto-remediate global SaaS infrastructure. What You'll Do Technical Design & Architecture: Design … observability platforms (metrics/logs/traces), incident management, and automated root cause analysis (RCA). Preferred Qualifications AI & Agentic Systems: E xperience building LLM pipelines, AI Agents, Model Context Protocol (MCP) servers/clients, RAG architectures, and evaluation frameworks. Observability & Telemetry: Experience with OpenTelemetry (OTel), Prometheus, Grafana, Splunk, ThousandEyes ...

Strategy and Execution for the BCG's Core AI/Intelligence LayerOwn and evolve the Gen (AI) platform vision and agentic systems, including LLM orchestration, contextual memory, and semantic knowledge layers. Shape the roadmap for the Platform AI/Agent Development Kit (ADK) — the core toolset powering developer and team … components and services owned by the platform teams. Establish and run enterprise‐grade AI observability frameworks to monitor performance, safety, and interpretability. Continuously enhance LLM Ops, Evaluation and Quality pipelines. Ensure robust AIOps/DevSecOps, CI/CD, Infrastructure‐as‐Code, and automated delivery pipelines. What You'll BringLeadership & DeliveryOver ...

Panakeia is the world's first in silico multi-omics company, building AI solutions that power precision medicine in clinical settings, at scale. Our platform also accelerates drug discovery and development for the medicines of ...

At MONY Group, we've spent the last 30 years making it easier for people to save on their household bills, growing beyond comparison to support multiple areas of daily spending. As technology evolves, then ...

find novel connections and insights from biomedical literature and datasets. Delivering a faster research experience is not just a matter of picking the latest LLM model. Getting accurate, scientifically relevant, trustworthy and meaningful results relies on building trust with our users that comes from integrating proper levels of guardrails, biomedical … ready and can be readily adapted to future developments. Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM‐based solutions, and agentic solutions to balance trade‐offs between speed, cost, complexity, interpretability, and performance. Collaborate closely with product, design, and other engineering teams ...

Company Description We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We ...

. Infrastructure: Public Cloud (GCP, AWS, or Azure), containerization, CI/CD pipelines. Key Responsibilities Agentic Systems: Build multi-agent, stateful, and asynchronous workflows. LLM Management: Handle prompt engineering, context/memory management, hallucination controls, guardrails, and fallback logic. Observability: Implement tracing and evaluation frameworks, specifically utilizing LLM ...

. Infrastructure: Public Cloud (GCP, AWS, or Azure), containerization, CI/CD pipelines. Key Responsibilities Agentic Systems: Build multi-agent, stateful, and asynchronous workflows. LLM Management: Handle prompt engineering, context/memory management, hallucination controls, guardrails, and fallback logic. Observability: Implement tracing and evaluation frameworks, specifically utilizing LLM ...

Computershare is global leader in financial administration with over 12,000 employees across more than 22 different countries. Many of the world's leading organisations use us to streamline and maximise the value of relationships ...

develop production-ready models, create intuitive dashboards, and help support strong data governance, privacy, and compliance. Leveraging modern tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM) you will integrate diverse data, run experiments tied to key performance indicators, and deliver actionable insights. This program offers hands-on experience, mentorship, and training … with experience handling large, complex datasets. Use programming languages such as SQL and Python. Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM). Understanddata management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance. Applystrong quantitative and analytical problem-solving skills ...

SMBC: A trusted partner for the long term Here at SMBC Group, we want to help you find the next step in your career so read on to discover if this opportunity is the one ...

develop production-grade Python services for Generative AI and complex RAG solutions. You will work across AI workflow orchestration, information retrieval, evidence processing, LLM integration, response generation and validation..This role requires strong production Python experience and practical experience delivering Generative AI and RAG solutions beyond proof of concept. Job Responsibilities …/Objectives: Design, develop and maintain production-grade Python services for Generative AI and RAG solutions. Build and integrate LLM workflows using structured outputs, tool calling, schema validation and controlled fallbacks. Implement vector, lexical and hybrid retrieval, metadata filtering, reranking and evidence selection. Build asynchronous services with appropriate timeout, retry ...

Agency:CrederaJob Function:ConsultingJob Subfunction: Technology ConsultingJob Description:Are you passionate about shaping the future of data and AI on modern cloud platforms? Does the idea of working for different public sector and regulated clients ...

Full-time Company Description At ASOS, we’re reimagining the future of fashion content and digital experiences. As we accelerate our global growth, Studios sits at the heart of this transformation delivering the high-quality ...

## Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: 01804570**Date Posted:**2026-02-23**Country:**United Kingdom**Location:**Gloucester ...

The Senior Director of Enterprise AI is accountable for defining, governing, and scaling Dynatrace's enterprise AI strategy to drive measurable productivity, operational efficiency, and competitive advantage across the organization. This role operates at the ...

initiative, helping define how agents are built, integrated and operated across the organisation Designing and maintaining standardised templates, reusable components and reference implementations for LLM and Generative AI workflows, enabling engineering teams to adopt consistent patterns Building reusable patterns for prompt design, tool calling, multi‐step agent flows, retries … adopted by other engineering teams Strong understanding of the end‐to‐end AI lifecycle, from experimentation through deployment and operation Practical understanding of production LLM or GenAI runtime concerns, such as model access, routing, caching, token usage, cost optimisation and reliability High proficiency in Python, with experience building APIs ...